Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical techniques designed to evaluate whether chemical fingerprints aligned with ...
Today, Sunday, December 14, is the 285th new column I’ve written for the NKyTribune. On Sunday, December 10, 2017, my first story began, appropriately enough, with “Where do I start?” Since then, a ...
Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...
Tree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study ...
The expanded TPB + E + H framework has greater explanatory power to understand waste separation behavior, and can be flexibly applied in a variety of geographic and cultural contexts. Household waste ...
ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...
The authors provide a compelling method for characterizing communication within brain networks. The study engages important, biologically pertinent, concerns related to the balance of dynamics and ...
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